Sourabh Ghodke

Results-driven Associate Data Scientist with 3+ years of experience building production-grade machine learning solutions. Proven expertise in end-to-end ML pipeline development, from data preprocessing to cloud deployment on AWS. Strong foundation in statistical modeling, deep learning, and NLP with hands-on experience deploying scalable AI applications. Seeking opportunities to leverage advanced analytics and ML expertise to drive innovation in cutting-edge technology environments.

Associate Data Scientist at Sofrego Private Limited (2022-07 – Present)

• Designed and deployed 5+ end-to-end machine learning solutions, improving operational efficiency by delivering actionable insights from complex datasets for strategic business decisions
• Implemented production-ready ML models using Python, Scikit-learn, TensorFlow, and PyTorch, achieving measurable improvements in prediction accuracy and model performance
• Architected and deployed scalable AI applications on AWS (EC2, S3) with FastAPI and Flask backends, ensuring high availability and optimal performance for real-time inference
• Developed comprehensive data preprocessing and feature engineering pipelines using Pandas, NumPy, and domain-specific techniques to extract maximum value from raw data
• Created interactive data visualizations and dashboards using Tableau, Power BI, Matplotlib, and Seaborn to communicate complex analytical findings to technical and non-technical stakeholders
• Established CI/CD workflows using Git and GitHub for automated testing and deployment, reducing deployment time by 40% and enhancing development efficiency
• Applied advanced NLP techniques (NLTK, TF-IDF, Word2Vec) and deep learning frameworks to build intelligent conversational AI systems and text analytics solutions

Bachelor of Engineering in Mechanical Engineering – S.K.N. College of Engineering, Sinhgad Institutes (2019-01 – 2022-12)

Diploma in Mechanical Engineering – M.I.T. Polytechnic (2016-01 – 2019-12)